Update e2e golden - #38
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* feat: add VGGT-Omega and LingBot-Map reconstruction backends Add two feed-forward camera + depth reconstruction backends selectable via --mapping: - vggt_omega: whole-sequence forward pass; peak GPU memory grows with frame count. Gated FAIR checkpoint, noncommercial research license, pulled from GitHub via the vggt_omega extra. - lingbot_map: streaming frame-by-frame against a bounded KV cache; peak GPU memory stays flat. Public Apache-2.0 checkpoint, pulled from GitHub via the lingbot_map extra. Streaming and windowed modes, optional FlashInfer. Both predict per-frame intrinsics, so --refine-intrinsics-from-mapper defaults on for them. Adds point-cloud confidence/depth-edge filters, CLI options, model-zoo entries, README docs, and tests. Ignores locally cloned HF model repos (vggt/, etc.) so multi-GB checkpoints are never committed. Co-authored-by: Cursor <cursoragent@cursor.com> * Add e2e golden diff script * Add e2e golden regeneration job * Update e2e golden (#38) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * Update .gitignore Co-authored-by: Hugues Sibille <hugues.sibille@epfl.ch> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Evan Thomas <evan.thomas@epfl.ch> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Hugues Sibille <hugues.sibille@epfl.ch>
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Regenerates
tests/data/reconstruct_e2e_golden.jsonforvggt_omega_lingbot_map(#37) at9ecfe6ad8535c924368efb1da4ef11015d74bc00, from the e2e run that failed: https://github.com/eceo-epfl/deepreefmap/actions/runs/35200606138.Merge if the values below are meant to move. Merging reruns the checks on the feature PR.
If they are not, fix it on the feature branch instead and close this PR. Nothing else changes.
216 values across 12 scenarios moved within tolerance and are not listed.